数据要素化背景下大学数学教学新体系构建路径研究  

Construction of New Teaching System for College Mathematics Based on Data Factorization

作　　者：薛震[1] 潘晋孝[1] 张亮亮 王鹏[1] 雷英杰[1] XUE Zhen;PAN Jinxiao;ZHANG Liangliang;WANG Peng;LEI Yingjie(School of Mathematics,North University of China,Taiyuan 030051,China)

机构地区：[1]中北大学数学学院,山西太原030051

出　　处：《宁波工程学院学报》2022年第4期111-117,共7页Journal of Ningbo University of Technology

基　　金：山西省高等教育教学改革项目(J2021322,Z2021038);山西省研究生教育教学改革项目(2021YJJG193)。

摘　　要：为解决现有大学数学公共课教学中存在的重理论轻实践、与数据要素化需求不适应等问题,从教学内容、教学手段和教学实践等方面进行改革,构建以数据分析能力为导向的“大学数学公共课程中渗透+混合式教学模式+创新创业实践活动+教学科研项目驱动”四位一体式的大学数学教学新体系,并在“概率统计”课程中进行了教学对比实验。实验结果表明:实验组学生的学习兴趣、数据分析与解决问题能力均比对照组学生有所提升;考试成绩中实验组的不及格率比对照组低2.04%,优秀率提高8.85%。该大学数学教学新体系深度推进了人才培养模式改革,提高了创新应用型人才的数据素养与培养质量。In order to solve the problems such as emphasizing theory and ignoring practice and failing to adapt to the needs of data factorization in the teaching of College Mathematics,the paper,discusses the reform in the way of teaching content,teaching methodology and teaching practice,constructs a new“four-in-one”teaching system aiming at training data analytical ability that comprises infiltration,blending,innovation and entrepreneurship practice as well as teaching and scientific research projects and conducts the teaching contrast experiment in the Probability and Statistics course.The results show that compared with the control group students’learning interest,ability of data analysis and solving problems for the test group have been improved and as of the examination result,the failure rate of the test group is 2.04%lower than that of the control group and the excellence rate of the test group is 8.85%higher than that of the control group.Therefore,the new system deepens the reform of talent cultivation mode and improves the data literacy and cultivation quality of creative and applied talents.

关 键 词：数据要素化 大学数学教学 数据分析能力 人才培养 创新能力 

分 类 号：G642[文化科学—高等教育学]